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Walmart Retail Shopping Experience Data
Retail & Consumer Behavior
Tags and Keywords
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"No reviews yet"
Free
About
Walmart customer reviews offers a wealth of insights into consumer sentiment and product feedback. Gathered through web scraping and data compilation, it contains a vast array of customer reviews, star ratings, and other relevant information. This data is significant for understanding shopping experiences, product satisfaction, and overall consumer opinions related to one of the world's largest retail giants.
Columns
- name: The name of the person providing the review.
- location: The location of the Walmart store visited by the reviewer.
- Date: The date the feedback was recorded.
- Rating: The star rating provided by the customer, on a scale of 1 to 5.
- Review: The detailed text of the customer's feedback.
- Image_Links: Links to images associated with the review, if any.
Distribution
The dataset is provided in a CSV file named
Walmart_reviews_data.csv. The file size is approximately 229.94 kB and it contains 300 records across 6 columns.Usage
Ideal applications for this dataset include performing sentiment analysis to understand customer feelings towards products or the brand as a whole. It can be used for product quality assessment based on direct customer feedback. Researchers can use it for market research to gain insights into consumer preferences and trends within the retail industry. Furthermore, the textual data is highly suitable for various natural language processing (NLP) tasks such as text classification, summarisation, and topic modelling.
Coverage
The dataset includes reviews with submission dates, allowing for temporal analysis. Geographic coverage is indicated by the 'location' column, which specifies where customers visited a Walmart store. There is no specific demographic scope mentioned in the provided information.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Data Analysts and Researchers: Can perform sentiment analysis, trend detection, and market research to understand consumer behaviour.
- Product Managers: Can assess product quality and performance using direct customer feedback to inform improvements.
- NLP Engineers: Can use the review texts for tasks like text classification, topic modelling, and building sentiment analysis models.
- Marketers: Can gain insights into consumer preferences and overall brand perception.
Dataset Name Suggestions
- Walmart Customer Feedback and Ratings
- Walmart Product Review Insights
- Consumer Sentiment for Walmart Products
- Walmart Retail Shopping Experience Data
Attributes
Original Data Source: Walmart Retail Shopping Experience Data
QUALITY